By Dr. Liji Thomas, MD Reviewed by Lauren Hardaker Mar 3 2026 By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move Parkinson’s detection closer to reliable real-world screening. Study: Explainable multimodal feature fusion networks for Parkinson's disease prediction . Image credit: goodluz/Shutterstock.com Recent advances in computing, especially the use of artificial